| Literature DB >> 33026461 |
Yang Tu1, Hang Liu1, Jiajun Liu1, Huaping Tang1, Yang Mu1, Mei Deng1, Qiantao Jiang1, Yaxi Liu1, Guoyue Chen1, Jirui Wang1, Pengfei Qi1, Zhien Pu2, Guangdeng Chen3, Yuanying Peng1, Yunfeng Jiang1, Qiang Xu1, Houyang Kang1, Xiujin Lan1, Yuming Wei1, Youliang Zheng1, Jian Ma4.
Abstract
KEY MESSAGE: Eight major and stably expressed QTL for flag leaf morphology across eleven environments were identified and validated using newly developed KASP markers in seven biparental populations with different genetic backgrounds. Flag leaf morphology is a determinant trait influencing plant architecture and yield potential in wheat (Triticum aestivum L.). A recombinant inbred line (RIL) population with a 55 K SNP-based constructed genetic map was used to map quantitative trait loci (QTL) for flag leaf length (FLL), width (FLW), area (FLA), angle (FLANG), opening angle (FLOA), and bend angle (FLBA) in eleven environments. Eight major QTL were detected in 11 environments with 5.73-54.38% of explained phenotypic variation. These QTL were successfully verified using the newly developed Kompetitive Allele Specific PCR (KASP) markers in six biparental populations with different genetic backgrounds. Among these 8 major QTL, two co-located intervals were identified. Significant interactions for both FLL- and FLW-related QTL were detected. Comparison analysis showed that QFll.sau-SY-2B and QFla.sau-SY-2B are likely new loci. Significant relationships between flag leaf- and yield-related traits were observed and discussed. Several genes associated with leaf development including the ortholog of maize ZmRAVL1, a B3-domain transcription factor involved in regulation of leaf angle, were predicted in physical intervals harboring these major QTL on reference genomes of bread wheat 'Chinese spring', T. turgidum, and Aegilops tauschii. Taken together, these results broaden our understanding on genetic basis of flag leaf morphology and provide clues for fine mapping and marker-assisted breeding wheat with optimized plant architecture for promising loci.Entities:
Mesh:
Substances:
Year: 2020 PMID: 33026461 DOI: 10.1007/s00122-020-03695-w
Source DB: PubMed Journal: Theor Appl Genet ISSN: 0040-5752 Impact factor: 5.699